Instructions to use seastar105/whisper-tiny-komixv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use seastar105/whisper-tiny-komixv2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="seastar105/whisper-tiny-komixv2")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("seastar105/whisper-tiny-komixv2") model = AutoModelForSpeechSeq2Seq.from_pretrained("seastar105/whisper-tiny-komixv2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ed750ae67c39ae972e3a1b6480a601e15771852d8a8a84817ed53c8e6d567f3f
- Size of remote file:
- 78 Bytes
- SHA256:
- 904fba72b34991d6b92db0f69188396018a6eed0fd2c90281bdaff2e967e16b8
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